Regional development potentials of Industry 4.0: Open data indicators of the Industry 4.0+ model.

This paper aims to identify the regional potential of Industry 4.0 (I4.0).

Data describing the relationship between world news and sustainable development goals.

The data article presents a dataset and a tool for news-based monitoring of sustainable development goals defined by the United Nations. The presented dataset was created by structured queries of the GDELT database based on the categories of the World Bank taxonomy matched to sustainable development goals. The Google BigQuery SQL scripts and the results of the related network analysis are attached to the data to provide a toolset for the strategic management of sustainability issues.

The intertwining of world news with Sustainable Development Goals: An effective monitoring tool.

This study aims to bring about a novel approach to the analysis of Sustainable Development Goals (SDGs) based solely on the appearance of news. Our purpose is to provide a monitoring tool that enables world news to be detected in an SDG-oriented manner, by considering multilingual as well as wide geographic coverage. The association of the goals with news basis the World Bank Group Topical Taxonomy, from which the selection of search words approximates the 17 development goals.

Data describing the regional Industry 4.0 readiness index.

The data article presents a dataset suitable to measure regional Industry 4.0 (I4.0+) readiness.

Network analysis dataset of system dynamics models.

This paper presents a tool developed for the analysis of networks extracted from system dynamics models. The developed tool and the collected models were used and analyzed in the research paper, Review and structural analysis of system dynamics models in sustainability science [1]. The models developed in Vensim, Stella, and InsightMaker are converted into networks of state-variables, flows, and parameters by the developed Python program that also performs model reduction, modularity analysis and calculates the structural properties of the models and its main variables.